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<journal-id journal-id-type="publisher-id">Front. Public Health</journal-id>
<journal-title>Frontiers in Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Public Health</abbrev-journal-title>
<issn pub-type="epub">2296-2565</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fpubh.2024.1409966</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Public Health</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Adverse childhood experiences and cognitive function in later life: the sequential mediating roles of education level and adult loneliness</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes"><name><surname>Deng</surname> <given-names>Xiaojuan</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author" equal-contrib="yes"><name><surname>Xie</surname> <given-names>Min</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author"><name><surname>Wang</surname> <given-names>Yu</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author"><name><surname>Cai</surname> <given-names>Jia</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author" corresp="yes"><name><surname>Zou</surname> <given-names>Min</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref><xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<contrib contrib-type="author"><name><surname>Wang</surname> <given-names>Qiang</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Mental Health Center, West China Hospital, Sichuan University</institution>, <addr-line>Chengdu, Sichuan</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Sichuan Clinical Medical Research Center for Mental Disorders</institution>, <addr-line>Chengdu</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Pharmacy, West China Hospital, Sichuan University</institution>, <addr-line>Chengdu</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0002">
<p>Edited by: Shen Liu, Anhui Agricultural University, China</p>
</fn>
<fn fn-type="edited-by" id="fn0003">
<p>Reviewed by: Carlo Lazzari, International Center for Healthcare and Medical Education, United Kingdom</p>
<p>Patr&#x00ED;cia Maidana Miguel, McGill University, Canada</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Min Zou, <email>zoumin0818@scu.edu.cn</email></corresp>
<fn fn-type="equal" id="fn0001">
<p><sup>&#x2020;</sup>These authors have contributed equally to this work and share first authorship</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>16</day>
<month>07</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>12</volume>
<elocation-id>1409966</elocation-id>
<history>
<date date-type="received">
<day>31</day>
<month>03</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>26</day>
<month>06</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2024 Deng, Xie, Wang, Cai, Zou and Wang.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Deng, Xie, Wang, Cai, Zou and Wang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec id="sec1">
<title>Background</title>
<p>This study assesses the impact of adverse childhood experiences (ACEs) on the cognitive function of older adults. Furthermore, it examines the potential underlying mechanism involving education level and the subjective &#x201C;feeling of loneliness&#x201D; (FOL).</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>Analyzing a population-based cohort sample from the China Health and Retirement Longitudinal Study database, 8,365 subjects aged 45 or older were interviewed in 2018. Ten ACEs indicators were measured using life history questionnaires assessed at 2014. FOL was assessed using a single item from 10-item Center for Epidemiological Studies Depression Scale (CESD-10). Cognitive function was assessed using a structured questionnaire comprising four dimensions: memory, orientation, computation, and visuospatial abilities.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>In the fully adjusted model, which accounted for age, gender, marital status, smoke, drink, rural residence, and education levels of both mothers and fathers, the linear regression analysis indicated that ACEs were inversely associated the lower education level (B&#x2009;=&#x2009;&#x2212;0.058, 95% CI&#x2009;=&#x2009;&#x2212;0.090, &#x2212;0.026, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001), and ACEs were found to be linked to an elevated risk of FOL (B&#x2009;=&#x2009;0.072, 95% CI&#x2009;=&#x2009;0.056, 0.089, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001). In addition, ACEs was not significantly associated with cognitive function (B&#x2009;=&#x2009;&#x2212;0.047, 95% CI&#x2009;=&#x2009;&#x2212;0.108, 0.015, <italic>p</italic>&#x2009;=&#x2009;0.136), but FOL was significantly associated with cognitive function (B&#x2009;=&#x2009;&#x2212;0.483, 95% CI&#x2009;=&#x2009;&#x2212;0.561, &#x2212;0.404, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001). Mediation analysis revealed that education level and FOL sequentially and partially mediated the association between ACEs and the total cognitive score, with a proportion mediated of 52.58%.</p>
</sec>
<sec id="sec4">
<title>Limitations</title>
<p>The evaluation of ACEs exposure was based on binary response options. This method limited our ability to explore various dimensions of adversity, such as ages of occurrence, severity, frequency, duration, and the extent of psychological effects at the time. Furthermore, the assessment of loneliness relied on a single item from the CESD-10, introducing a potential source of measurement error.</p>
</sec>
<sec id="sec5">
<title>Conclusion</title>
<p>Our study unveils a substantial association between ACEs and education level, as well as with FOL and cognitive function in the older adults. Moreover, education level and FOL serve as sequential mediating factors in the relationship between ACEs and cognitive function.</p>
</sec>
</abstract>
<kwd-group>
<kwd>adverse childhood experiences</kwd>
<kwd>education attainment</kwd>
<kwd>loneliness</kwd>
<kwd>cognitive function</kwd>
<kwd>older adult</kwd>
<kwd>Chinese</kwd>
</kwd-group>
<contract-num rid="cn1">82171499</contract-num>
<contract-num rid="cn2">2021HXBH027</contract-num>
<contract-num rid="cn2">2023HXBH084</contract-num>
<contract-num rid="cn3">2023NSFSC0126</contract-num>
<contract-sponsor id="cn1">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content></contract-sponsor>
<contract-sponsor id="cn2">Post Doctor Research Project, West China Hospital, Sichuan University</contract-sponsor>
<contract-sponsor id="cn3">Natural Science Foundation of Sichuan Province</contract-sponsor>
<counts>
<fig-count count="2"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="52"/>
<page-count count="11"/>
<word-count count="7564"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Public Mental Health</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec6">
<label>1</label>
<title>Introduction</title>
<p>Adverse childhood experiences (ACEs) refer to stressful or traumatic events encountered during childhood, specifically defined as incidents occurring before the age of 18 (<xref ref-type="bibr" rid="ref1">1</xref>). Over 60% of adults report experiencing at least one adverse childhood experience, and 17% report four or more ACEs. ACEs persistently impact adverse health outcomes throughout an individual&#x2019;s life, contributing to lower educational attainment, significant causes of adult mortality and influencing various psychosocial outcomes linked to mental illness and poor health, as well as substantial financial costs (<xref ref-type="bibr" rid="ref2 ref3 ref4 ref5 ref6">2&#x2013;6</xref>).</p>
<p>In China, the escalating aging population has brought about heightened concerns regarding cognitive decline (<xref ref-type="bibr" rid="ref7">7</xref>). This decline among the older adults can lead to various adverse outcomes, including health complications, reduced social interaction, heightened safety hazards, greater medical complexities, and financial strains (<xref ref-type="bibr" rid="ref8">8</xref>). Studies have indicated a connection between ACEs and cognitive impairment in adulthood, particularly impacting memory, processing speed, and executive functions, even in later life stages (<xref ref-type="bibr" rid="ref9 ref10 ref11 ref12 ref13">9&#x2013;13</xref>). Further investigations into the enduring cognitive consequences of specific ACEs could shed light on the specificity and pathways linking individual ACEs to cognitive functions in later life. Some studies have adopted a mediation framework to explore these associations. By examining these potential pathways, invaluable insights could be gained to develop more effective intervention and prevention strategies aimed at mitigating the risks associated with cognitive impairment.</p>
<p>Numerous studies have already found that individuals who have experienced ACEs are more likely to have lower educational attainment (<xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref14">14</xref>). This early exposure to ACEs has been linked to a decline in educational achievement, contributing to variations in cognitive skills that manifest in early adulthood and persist into older age, thereby increasing the risk of age-associated cognitive decline and late-life dementia (<xref ref-type="bibr" rid="ref15">15</xref>). Moreover, recent research has identified specific adverse experiences that may further exacerbate cognitive declines by influencing educational attainment. For instance, one study demonstrated a robust and enduring indirect association between parental substance abuse and poorer cognitive function in later life, mediated through educational level (<xref ref-type="bibr" rid="ref16">16</xref>). Similarly, Halpin et al. observed that heightened childhood adversity could amplify susceptibility to cognitive impairment by shaping the early educational experiences of older adults (<xref ref-type="bibr" rid="ref17">17</xref>). Additionally, Burr et al. found that adult loneliness partially mediated the relationship between childhood friendship experiences and cognitive function in later life (<xref ref-type="bibr" rid="ref18">18</xref>). These findings collectively underscore the intricate relationship between ACEs, educational level, and cognitive function across the lifespan. They highlight the importance of considering the long-term consequences of ACEs on educational outcomes and cognitive health in later life.</p>
<p>Loneliness, characterized as the perception of social isolation or the subjective feeling of being alone (<xref ref-type="bibr" rid="ref19">19</xref>), represents a significant public health concern that often goes unrecognized or trivialized (<xref ref-type="bibr" rid="ref20">20</xref>). Considering the escalating number of older adults, it becomes crucial to acknowledge the detrimental effects of loneliness, as revealed in both animal models and longitudinal human investigations (<xref ref-type="bibr" rid="ref21 ref22 ref23">21&#x2013;23</xref>). Substantial studies have found that loneliness was associated with objective social isolation, depression, or poor social skills, cognitive impairment and premature mortality (<xref ref-type="bibr" rid="ref23 ref24 ref25">23&#x2013;25</xref>). Emerging evidence have suggested that those who have been exposed to ACEs are more likely to have the feeling of loneliness (<xref ref-type="bibr" rid="ref26">26</xref>, <xref ref-type="bibr" rid="ref27">27</xref>). For example, individuals who are exposed to ACEs report low self-esteem and problems with emotional regulation, which may lead to encounter challenges in experiencing pleasure, contentment, and happiness. Lin et al. found that ACEs were associated with feeling of loneliness (FOL) trajectory, which play a mediating role between ACEs and problematic internet use in young adults (<xref ref-type="bibr" rid="ref28">28</xref>). Besides, the mediating role of loneliness have been identified between ACEs and pain, problematic internet abuse and depressive symptoms (<xref ref-type="bibr" rid="ref28 ref29 ref30">28&#x2013;30</xref>). Therefore, one potential explanation for the link between ACEs and cognitive impairment is exposure to adverse events in early life, which can lead to increased feelings of loneliness (FOL) later in life, thus resulting in greater impairment of cognition. However, there remains a scarcity of research delving into the precise mechanisms through which ACEs elevate the risk of cognitive deficits, including factors like educational level and subjective FOL. Exploring these potential pathways could provide valuable insights for the development of more effective intervention and prevention strategies aimed at mitigating the risks associated with cognitive impairment.</p>
<p>There is a lack of studies examining the association between ACEs and the decline of cognitive functioning in later life through a sequential mediating pathway. There could exist a direct relationship between ACEs and cognition. Alternatively, depending on the strength of the mediators, there may be an indirect pathway involving educational level and FOL. Through these indirect pathways, it is possible to elucidate the mechanisms through which ACEs contribute to an elevated risk of cognitive impairment. Drawing from the literature discussed earlier, it can be inferred that the cumulative effect of ACEs may increase the likelihood of lower cognitive function among older individuals. Consequently, we have formulated four hypotheses to guide our investigation:</p>
<disp-quote>
<p><italic>H1:</italic> ACEs are inversely associated with cognitive function among the older adults.</p>
</disp-quote>
<disp-quote>
<p><italic>H2:</italic> Educational level serves as a mediator in the relationship between ACEs and cognitive function among the older adults.</p>
</disp-quote>
<disp-quote>
<p><italic>H3:</italic> FOLs acts as a mediator in the relationship between ACEs and cognitive function among the older adults.</p>
</disp-quote>
<disp-quote>
<p><italic>H4:</italic> Educational level and FOLs sequentially mediate the relationship between ACEs and cognitive function among the older adults.</p>
</disp-quote>
<p><xref ref-type="fig" rid="fig1">Figure 1</xref> illustrates the proposed research model for the current study.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Hypothesized model of ACEs, education level, FOLs and cognitive function. ACEs, adverse childhood experiences; FOL, feeling of lonely.</p>
</caption>
<graphic xlink:href="fpubh-12-1409966-g001.tif"/>
</fig>
<p>Therefore, leveraging the unique longitudinal cohort of the China Health and Retirement Longitudinal Study (CHRLS), the current aimed to (1) examine the association between ACEs and education level, FOL and cognitive function in older adults; (2) investigate the connection between FOL and cognitive function; and (3) determine if education level and FOL sequentially mediated the association between ACEs and cognitive function.</p>
</sec>
<sec sec-type="materials|methods" id="sec7">
<label>2</label>
<title>Materials and methods</title>
<sec id="sec8">
<label>2.1</label>
<title>Study design and participants</title>
<p>This study utilized data from fourth wave (2018) and Life History Survey Questionnaire data (2014) obtained from a nationally representative longitudinal survey (CHARLS), which conducted by the China Center for Economic Research at Peking University. Eligible participants, aged 45 and above, were enrolled using a multistage probability sampling method, with follow-up interviews conducted every 2&#x2009;years. The datasets are accessible for download on the CHARLS homepage at <ext-link xlink:href="http://charls.pku.edu.cn/en" ext-link-type="uri">http://charls.pku.edu.cn/en</ext-link>. Approval for the CHARLS survey project was granted by the Biomedical Ethics Committee of Peking University, and all participants were required to provide informed consent through signing.</p>
</sec>
<sec id="sec9">
<label>2.2</label>
<title>Data collection instruments</title>
<sec id="sec10">
<label>2.2.1</label>
<title>Demographic information</title>
<p>The general information included age, gender, education level, married status, smoke, drink, rural residence and education levels of both mothers and fathers (<xref ref-type="table" rid="tab1">Table 1</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref>). The married status is a binary variable representing either &#x201C;married&#x201D; or &#x201C;not in marriage.&#x201D; Smoking and drinking are binary variables that signify the presence or absence of a history of smoking and alcohol consumption. Rural residence is also a binary variable indicating whether individuals live in urban or rural areas. The education level includes: no formal education illiterate (1), did not finish primary school but cap (2), sishu (a type of educational institution in China that focuses on the early education and development of young children) (3), elementary school (4), middle school (5), high school (6), vocational school (7), two/three-year college/associate degree (8), four-year college/bachelor&#x2019;s degree (9), and post-graduated (master/PhD) (10). And the marry status includes: married, partnered, separated, divorced, widowed, and never married. In our study, we utilized rural residence, and the educational levels of both mothers and fathers as covariates. These factors have been previously linked to cognitive function and were included to account for their potential influence on our findings.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>The demographic characteristics of participants assessed at 2018 (<italic>n</italic>&#x2009;=&#x2009;8,365).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top">Mean&#x2009;&#x00B1;&#x2009;SD/<italic>n</italic> (%)</th>
<th align="center" valign="top">Range</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age, year</td>
<td align="center" valign="top">58.83&#x2009;&#x00B1;&#x2009;8.87</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" colspan="3">Gender</td>
</tr>
<tr>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">3,824 (45.71%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">4,541 (54.29%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" colspan="3">Education level</td>
</tr>
<tr>
<td align="left" valign="bottom">No formal education illiterate</td>
<td align="center" valign="top">1,489 (17.80%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Did not finish primary school but cap</td>
<td align="center" valign="top">1,139 (13.62%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Sishu</td>
<td align="center" valign="top">9 (0.11%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Elementary school</td>
<td align="center" valign="top">2,777 (33.20%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Middle school</td>
<td align="center" valign="top">1,850 (22.12%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">High school</td>
<td align="center" valign="top">746 (8.92%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Vocational school</td>
<td align="center" valign="top">188 (2.25%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Two/Three Year College/Associate degree</td>
<td align="center" valign="top">119 (1.42%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Four Year College/Bachelor&#x2019;s degree</td>
<td align="center" valign="top">44 (0.53%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Post-graduated (Master/PhD)</td>
<td align="center" valign="top">4 (0.05%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom" colspan="3">Marital status</td>
</tr>
<tr>
<td align="left" valign="bottom">Married</td>
<td align="center" valign="top">7,827 (93.57%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Not in marriage</td>
<td align="center" valign="top">538 (6.43%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom" colspan="3">Smoke</td>
</tr>
<tr>
<td align="left" valign="bottom">Yes</td>
<td align="center" valign="top">3,912 (46.77%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">No</td>
<td align="center" valign="top">4,453 (53.23%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom" colspan="3">Drink</td>
</tr>
<tr>
<td align="left" valign="bottom">Yes</td>
<td align="center" valign="top">4,380 (52.36%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">No</td>
<td align="center" valign="top">3,985 (47.64%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom" colspan="3">Residence</td>
</tr>
<tr>
<td align="left" valign="bottom">Urban</td>
<td align="center" valign="top">3,541 (42.33%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Rural</td>
<td align="center" valign="top">4,824 (57.67%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Total cognitive scores</td>
<td align="center" valign="top">12.04&#x2009;&#x00B1;&#x2009;3.56</td>
<td align="center" valign="top">0&#x2013;20</td>
</tr>
<tr>
<td align="left" valign="bottom">Memory</td>
<td align="center" valign="top">4.48&#x2009;&#x00B1;&#x2009;1.96</td>
<td align="center" valign="top">0&#x2013;10</td>
</tr>
<tr>
<td align="left" valign="bottom">Orientation</td>
<td align="center" valign="top">3.21&#x2009;&#x00B1;&#x2009;0.91</td>
<td align="center" valign="top">0&#x2013;4</td>
</tr>
<tr>
<td align="left" valign="bottom">Computation</td>
<td align="center" valign="top">3.66&#x2009;&#x00B1;&#x2009;1.49</td>
<td align="center" valign="top">0&#x2013;5</td>
</tr>
<tr>
<td align="left" valign="bottom">Visuospatial abilities</td>
<td align="center" valign="top">0.68&#x2009;&#x00B1;&#x2009;0.46</td>
<td align="center" valign="top">0&#x2013;1</td>
</tr>
<tr>
<td align="left" valign="bottom" colspan="3">Subjective feeling of lonely</td>
</tr>
<tr>
<td align="left" valign="bottom">Rarely or none</td>
<td align="center" valign="top">6,184 (73.93%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Some or a little</td>
<td align="center" valign="top">1,085 (12.97%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Occasionally or a moderate</td>
<td align="center" valign="top">636 (7.60%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Most or all</td>
<td align="center" valign="top">460 (5.50%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom" colspan="3">Number of ACEs</td>
</tr>
<tr>
<td align="left" valign="bottom">0</td>
<td align="center" valign="bottom">167 (2.00%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">1</td>
<td align="center" valign="bottom">2,886 (34.50%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">2</td>
<td align="center" valign="bottom">2,944 (35.19%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">3</td>
<td align="center" valign="bottom">1,541 (18.42%)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">&#x003E;&#x2009;=&#x2009;4</td>
<td align="center" valign="bottom">827 (9.89%)</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>ACEs, Adverse childhood experiences; SD, standard error.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec11">
<label>2.2.2</label>
<title>Adverse childhood experiences</title>
<p>The ACEs included ten types of adverse experiences occurred during childhood, including emotional neglect, physical abuse, domestic violence, unsafe neighborhood, and bullying, parental separation or divorce, parental death, household substance abuse, household mental illness, and incarcerated household member (<xref ref-type="bibr" rid="ref31">31</xref>). The ACEs were quantified as cumulative scores, ranging from 0 to 10, and subsequently classified into four groups: 0 and 1, 2, 3, and 4 or more.</p>
</sec>
<sec id="sec12">
<label>2.2.3</label>
<title>Loneliness symptom</title>
<p>A solitary item from the 10-item Center for Epidemiological Studies Depression Scale (CESD-10) was employed to evaluate loneliness symptoms throughout investigation conducted in 2018. Respondents were instructed to assess the frequency of feeling lonely during the past week, assigning scores within the range of 0 to 3. The survey utilizes a 4-point Likert scale: 0 indicating very rarely or not at all (&#x003C; 1&#x2009;day), 1 representing not too much (1&#x2013;2&#x2009;days), 2 signifying occasionally or about half the time (3&#x2013;4&#x2009;days), and 3 denoting most of the time (5&#x2013;7&#x2009;days).</p>
</sec>
<sec id="sec13">
<label>2.2.4</label>
<title>Cognition</title>
<p>This research, conducted using data from the fourth wave assessment of cognitive function, focused on four dimensions: episodic memory, orientation, computation, and visuospatial abilities. Episodic memory was assessed through immediate and delayed word recall, with participants recalling as many words as possible after hearing 10 Chinese nouns, both immediately and 4&#x2013;10&#x2009;min later. The episodic memory score was determined as the average of immediate and delayed word recalls, ranging from 0 to 10. Orientation and computation were measured using the 10 items in the Telephone Interview for Cognitive Status (TICS-10), rated on a scale of 0 to 10. Orientation involved inquiries about the date (month, day, year), day of the week, and season. Computation was evaluated by subtracting 7 from 100 five times consecutively, resulting in scores ranging from 0 to 5. Visuospatial abilities were evaluated through graphic rendering, where respondents were presented with a painting and asked to draw a similar figure. The scoring range for drawing is from 0 to 1, with successful drawings earning 1 point and unsuccessful attempts receiving 0 points. The cognitive score, comprising TICS-10, word recall, and graph drawing, ranged from 0 to 21, with higher scores indicating better cognitive function.</p>
</sec>
</sec>
<sec id="sec14">
<label>2.3</label>
<title>Statistical analysis</title>
<p>Linear regression analyses were conducted to investigate the relationships between ACEs and outcomes of education level and FOL. In Model 1, ACEs were included; in Model 2, covariates such as age, gender, smoke, drink, marital status, rural living or education level were added to Model 1; in Model 3, education level of mother and father were added to Model 2. Furthermore, linear regression analyses were carried out to explore the association between ACEs and cognitive function. In Model 1, ACEs were included; in Model 2, FOL was added into Model 1; in Model 3, covariates such as age, gender, smoke, drink, marital status, rural living or education level were added to Model 3; in Model 4, education level of mother and father were added to Model 3. Spearman correlation analysis was conducted to examine the relationship between ACEs, education level, FOL, and total cognitive score, with Bonferroni correction applied for multiple comparisons. Finally, a serial mediation analysis was used to examine the sequential mediated effects of education level and FOL on the relationship between ACEs and cognitive function (i.e., ACEs (X), education level (M1), FOL trajectories (M2) and total cognitive score (Y)). The significant level of estimates was set as two-tailed <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05. Serial mediation analysis was conducted by MPLUS (version 8.3) and other statistical analyses were conducted using Stata (version 17.1).</p>
</sec>
</sec>
<sec sec-type="results" id="sec15">
<label>3</label>
<title>Results</title>
<sec id="sec16">
<label>3.1</label>
<title>Participant characteristics</title>
<p>The demographic, ACEs, loneliness scores and cognition of the 8,365 selected subjects are described in <xref ref-type="table" rid="tab1">Table 1</xref>. The 8,365 participants included 3,824 (45.71%) male and 4,541 (54.29%) female, with mean age of 58.83&#x2009;&#x00B1;&#x2009;8.87. 93.57% of participants are married, while 6.43% are not in a marital relationship. There are 3,912 (46.77%), 4,380 (52.36%) and 4,824 (57.67%) participants reported smoke, drink and living in rural, respectively. The education levels of the subjects are also detailed in <xref ref-type="table" rid="tab1">Table 1</xref>, and the education levels of their mothers and fathers are detailed in <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref>. The total cognitive score, memory, orientation, computation and drawing scores assessed at wave 4 were 12.04&#x2009;&#x00B1;&#x2009;3.56 (range: 0&#x2013;20), 4.48&#x2009;&#x00B1;&#x2009;1.96 (range: 0&#x2013;10), 3.21&#x2009;&#x00B1;&#x2009;0.91 (range: 0&#x2013;4), 3.66&#x2009;&#x00B1;&#x2009;1.49 (range: 0&#x2013;5) and 0.68&#x2009;&#x00B1;&#x2009;0.46 (range: 0&#x2013;1), respectively. There are 6,184 (73.93%), 1,085 (12.97%), 636 (7.60%) and 460 (5.50%) subjects reported very rarely or not at all (&#x003C; 1&#x2009;day), not too much (1&#x2013;2&#x2009;days), occasionally or about half the time (3&#x2013;4&#x2009;days), and most of the time of FOL, respectively. And there are 167 (2.00%), 2,886 (34.50%), 2,944 (35.19%), 1,541 (18.42%) and 827 (9.89%) reported 0, 1, 2, 3, 4 or above adverse experiences.</p>
</sec>
<sec id="sec17">
<label>3.2</label>
<title>Association between ACEs and education level</title>
<p>The linear regression analysis showed that ACEs were associated with lower education level (B&#x2009;=&#x2009;&#x2212;0.078, 95% CI&#x2009;=&#x2009;&#x2212;0.113, &#x2212;0.042, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) in Model 1 (<xref ref-type="table" rid="tab2">Table 2</xref>), without adjusting for covariates. In Model 2, after adjusting for age, gender, marital status, smoke, drink, and rural residency, ACEs remained significantly associated with education level (B&#x2009;=&#x2009;&#x2212;0.066, 95% CI&#x2009;=&#x2009;&#x2212;0.098, &#x2212;0.033, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001). In Model 3, after further adjustment for the education levels of both the mothers and fathers, ACEs remained significantly associated with education level (B&#x2009;=&#x2009;&#x2212;0.058, 95% CI&#x2009;=&#x2009;&#x2212;0.090, &#x2212;0.026, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Association between ACEs and education level.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top" colspan="3">Model 1</th>
<th align="center" valign="top" colspan="3">Model 2</th>
<th align="center" valign="top" colspan="3">Model 3</th>
</tr>
<tr>
<th/>
<th align="center" valign="top">B</th>
<th align="center" valign="top">95% CI</th>
<th align="center" valign="top">
<italic>p</italic>
</th>
<th align="center" valign="top">B</th>
<th align="center" valign="top">95% CI</th>
<th align="center" valign="top">
<italic>p</italic>
</th>
<th align="center" valign="top">B</th>
<th align="center" valign="top">95% CI</th>
<th align="center" valign="top">
<italic>p</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="bottom">ACEs</td>
<td align="center" valign="bottom">&#x2212;0.078</td>
<td align="center" valign="bottom">&#x2212;0.113, &#x2212;0.042</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;0.066</td>
<td align="center" valign="middle">&#x2212;0.098, &#x2212;0.033</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;0.058</td>
<td align="center" valign="middle">&#x2212;0.09, &#x2212;0.026</td>
<td align="center" valign="bottom">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Age</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="middle">&#x2212;0.030</td>
<td align="center" valign="middle">&#x2212;0.034, &#x2212;0.026</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;0.019</td>
<td align="center" valign="middle">&#x2212;0.023, &#x2212;0.014</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Gender</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="middle">&#x2212;0.909</td>
<td align="center" valign="middle">&#x2212;1.021, &#x2212;0.797</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;0.939</td>
<td align="center" valign="middle">&#x2212;1.048, &#x2212;0.83</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Marital status</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">&#x2212;0.072, 0.072</td>
<td align="center" valign="middle">1.000</td>
<td align="center" valign="middle">0.005</td>
<td align="center" valign="middle">&#x2212;0.065, 0.076</td>
<td align="center" valign="middle">0.883</td>
</tr>
<tr>
<td align="left" valign="bottom">Smoke</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">&#x2212;0.172</td>
<td align="center" valign="middle">&#x2212;0.276, &#x2212;0.067</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;0.150</td>
<td align="center" valign="middle">&#x2212;0.252, &#x2212;0.048</td>
<td align="center" valign="middle">0.004</td>
</tr>
<tr>
<td align="left" valign="bottom">Drink</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">0.126</td>
<td align="center" valign="middle">0.042, 0.210</td>
<td align="center" valign="middle">0.003</td>
<td align="center" valign="middle">0.115</td>
<td align="center" valign="middle">0.033, 0.196</td>
<td align="center" valign="middle">0.006</td>
</tr>
<tr>
<td align="left" valign="bottom">Rural living</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="middle">&#x2212;0.831</td>
<td align="center" valign="middle">&#x2212;0.902, &#x2212;0.759</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;0.699</td>
<td align="center" valign="middle">&#x2212;0.77, &#x2212;0.628</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Father&#x2019;s education level</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="middle">0.161</td>
<td align="center" valign="middle">0.138, 0.183</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Mother&#x2019;s education level</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="middle">0.114</td>
<td align="center" valign="middle">0.081, 0.146</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>ACEs, adverse childhood experiences; B, non-standard regression coefficient; CI, confidence interval.Model 1: added ACEs; Model 2: added age, gender, marital status, smoke, drink and rural living into model 1; Model 3: added education levels of both mothers and fathers to model 2.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec18">
<label>3.3</label>
<title>Association between ACEs and FOL</title>
<p>The linear regression analysis revealed that ACEs were linked to an increased risk of FOL (B&#x2009;=&#x2009;0.074, 95% CI&#x2009;=&#x2009;0.057, 0.091, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) in Model 1 (<xref ref-type="table" rid="tab3">Table 3</xref>), prior to adjusting for any covariates. In Model 2, even after accounting for factors such as age, gender, education level, marital status, smoke, drink and rural residency, the association between ACEs and an elevated risk of FOL remained significant (B&#x2009;=&#x2009;0.072, 95% CI&#x2009;=&#x2009;0.056, 0.089, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001). Further adjustments in Model 3, which included the educational levels of both parents, still showed a significant association between ACEs and an increased risk of FOL (B&#x2009;=&#x2009;0.072, 95% CI&#x2009;=&#x2009;0.056, 0.089, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Association between ACEs and FOL.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top" colspan="3">Model 1</th>
<th align="center" valign="top" colspan="3">Model 2</th>
<th align="center" valign="top" colspan="3">Model 3</th>
</tr>
<tr>
<th/>
<th align="center" valign="top">B</th>
<th align="center" valign="top">95% CI</th>
<th align="center" valign="top">
<italic>p</italic>
</th>
<th align="center" valign="top">B</th>
<th align="center" valign="top">95% CI</th>
<th align="center" valign="top">
<italic>p</italic>
</th>
<th align="center" valign="top">B</th>
<th align="center" valign="top">95% CI</th>
<th align="center" valign="top">
<italic>p</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="bottom">ACEs</td>
<td align="center" valign="bottom">0.074</td>
<td align="center" valign="bottom">0.057, 0.091</td>
<td align="center" valign="bottom">&#x003C;0.001</td>
<td align="center" valign="middle">0.072</td>
<td align="center" valign="middle">0.056, 0.089</td>
<td align="center" valign="bottom">&#x003C;0.001</td>
<td align="center" valign="middle">0.072</td>
<td align="center" valign="middle">0.056, 0.089</td>
<td align="center" valign="bottom">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Age</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="middle">0.001</td>
<td align="center" valign="middle">&#x2212;0.002, 0.003</td>
<td align="center" valign="bottom">0.568</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">&#x2212;0.002, 0.002</td>
<td align="center" valign="bottom">0.813</td>
</tr>
<tr>
<td align="left" valign="bottom">Gender</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="middle">&#x2212;0.233</td>
<td align="center" valign="middle">&#x2212;0.292, &#x2212;0.175</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;0.231</td>
<td align="center" valign="middle">&#x2212;0.289, &#x2212;0.173</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Education level</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="middle">&#x2212;0.024</td>
<td align="center" valign="middle">&#x2212;0.035, &#x2212;0.013</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;0.022</td>
<td align="center" valign="middle">&#x2212;0.034, &#x2212;0.011</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Marital status</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">0.143</td>
<td align="center" valign="middle">0.106, 0.180</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="middle">0.143</td>
<td align="center" valign="middle">0.106, 0.180</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Smoke</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">0.108</td>
<td align="center" valign="middle">0.054, 0.161</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="middle">0.107</td>
<td align="center" valign="middle">0.054, 0.161</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Drink</td>
<td/>
<td/>
<td/>
<td align="center" valign="middle">0.008</td>
<td align="center" valign="middle">&#x2212;0.035, 0.051</td>
<td align="center" valign="top">0.710</td>
<td align="center" valign="middle">0.008</td>
<td align="center" valign="middle">&#x2212;0.035, 0.051</td>
<td align="center" valign="top">0.702</td>
</tr>
<tr>
<td align="left" valign="bottom">Rural living</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="middle">0.102</td>
<td align="center" valign="middle">0.065, 0.140</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="middle">0.099</td>
<td align="center" valign="middle">0.061, 0.137</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Father&#x2019;s education level</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="middle">&#x2212;0.007</td>
<td align="center" valign="middle">&#x2212;0.019, 0.005</td>
<td align="center" valign="middle">0.239</td>
</tr>
<tr>
<td align="left" valign="bottom">Mother&#x2019;s education level</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="middle">&#x2212;0.002</td>
<td align="center" valign="middle">&#x2212;0.019, 0.015</td>
<td align="center" valign="middle">0.787</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>ACEs, adverse childhood experiences; B, non-standard regression coefficient; CI, confidence interval.Model 1: added ACEs; Model 2: added age, gender, education level, marital status, smoke, drink and rural living into model 2; Model 3: added education levels of both mothers and fathers to model 2.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec19">
<label>3.4</label>
<title>Association between ACEs, FOL, and cognition</title>
<p>The linear regression analysis revealed a significant association between ACEs and poor cognitive function (B&#x2009;=&#x2009;&#x2212;0.082, 95% CI&#x2009;=&#x2009;&#x2212;0.148, &#x2212;0.015, <italic>p</italic>&#x2009;=&#x2009;0.016). However, in Model 2, after incorporating FOL into Model 1, ACEs lost their significant association with cognition (B&#x2009;=&#x2009;&#x2212;0.038, 95% CI&#x2009;=&#x2009;&#x2212;0.104, 0.028, <italic>p</italic>&#x2009;=&#x2009;0.258), while FOL displayed a significant inverse association with cognition (B&#x2009;=&#x2009;&#x2212;0.589, 95% CI&#x2009;=&#x2009;&#x2212;0.673, &#x2212;0.505, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001). Advancing to Model 3, which integrated covariates such as age, gender, education level, marital status, smoke, drink, and rural residency into Model 2, ACEs were not associated with cognition (B&#x2009;=&#x2009;&#x2212;0.050, 95% CI&#x2009;=&#x2009;&#x2212;0.111, 0.012, <italic>p</italic>&#x2009;=&#x2009;0.122), while FOL retained its significant association with cognition (B&#x2009;=&#x2009;&#x2212;0.485, 95% CI&#x2009;=&#x2009;&#x2212;0.564, &#x2212;0.407, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001). Transitioning to Model 4, with the additional inclusion of the education levels of both mother and father into Model 3, FOL maintained a significant association with poor cognitive function (B&#x2009;=&#x2009;&#x2212;0.483, 95% CI&#x2009;=&#x2009;&#x2212;0.561, &#x2212;0.404, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001). However, ACEs no longer exhibited an association with cognitive function (B&#x2009;=&#x2009;&#x2212;0.047, 95% CI&#x2009;=&#x2009;&#x2212;0.108, 0.015, <italic>p</italic>&#x2009;=&#x2009;0.136, refer to <xref ref-type="table" rid="tab4">Table 4</xref>).</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Association between ACEs, FOL, and cognition.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top" colspan="3">Model 1</th>
<th align="center" valign="top" colspan="3">Model 2</th>
<th align="center" valign="top" colspan="3">Model 3</th>
<th align="center" valign="top" colspan="3">Model 4</th>
</tr>
<tr>
<th/>
<th align="center" valign="top">B</th>
<th align="center" valign="top">95% CI</th>
<th align="center" valign="top">
<italic>p</italic>
</th>
<th align="center" valign="top">B</th>
<th align="center" valign="top">95% CI</th>
<th align="center" valign="top">
<italic>p</italic>
</th>
<th align="center" valign="top">B</th>
<th align="center" valign="top">95% CI</th>
<th align="center" valign="top">
<italic>p</italic>
</th>
<th align="center" valign="top">B</th>
<th align="center" valign="top">95% CI</th>
<th align="center" valign="top">
<italic>p</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="bottom">Number of ACEs</td>
<td align="center" valign="top">&#x2212;0.082</td>
<td align="center" valign="top">&#x2212;0.148, &#x2212;0.015</td>
<td align="center" valign="top">0.016</td>
<td align="center" valign="bottom">&#x2212;0.038</td>
<td align="center" valign="bottom">&#x2212;0.104, 0.028</td>
<td align="center" valign="bottom">0.258</td>
<td align="center" valign="middle">&#x2212;0.050</td>
<td align="center" valign="middle">&#x2212;0.111, 0.012</td>
<td align="center" valign="bottom">0.122</td>
<td align="center" valign="middle">&#x2212;0.047</td>
<td align="center" valign="middle">&#x2212;0.108, 0.015</td>
<td align="center" valign="middle">0.136</td>
</tr>
<tr>
<td align="left" valign="bottom">FOL</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2212;0.589</td>
<td align="center" valign="bottom">&#x2212;0.673, &#x2212;0.505</td>
<td align="center" valign="bottom">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;0.485</td>
<td align="center" valign="middle">&#x2212;0.564, &#x2212;0.407</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;0.483</td>
<td align="center" valign="middle">&#x2212;0.561, &#x2212;0.404</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Age</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="middle">&#x2212;0.105</td>
<td align="center" valign="middle">&#x2212;0.113, &#x2212;0.097</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;0.099</td>
<td align="center" valign="middle">&#x2212;0.107, &#x2212;0.091</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Gender</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="middle">0.976</td>
<td align="center" valign="middle">0.763, 1.190</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="middle">0.943</td>
<td align="center" valign="middle">0.729, 1.156</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Education level</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="middle">0.283</td>
<td align="center" valign="middle">0.243, 0.323</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="middle">0.261</td>
<td align="center" valign="middle">0.220, 0.302</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Marital status</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="middle">&#x2212;0.085</td>
<td align="center" valign="middle">&#x2212;0.221, 0.051</td>
<td align="center" valign="top">0.222</td>
<td align="center" valign="middle">&#x2212;0.080</td>
<td align="center" valign="middle">&#x2212;0.216, 0.056</td>
<td align="center" valign="middle">0.247</td>
</tr>
<tr>
<td align="left" valign="bottom">Smoke</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="middle">&#x2212;0.474</td>
<td align="center" valign="middle">&#x2212;0.67, &#x2212;0.278</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;0.469</td>
<td align="center" valign="middle">&#x2212;0.665, &#x2212;0.274</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Drink</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="center" valign="middle">0.170</td>
<td align="center" valign="middle">0.013, 0.327</td>
<td align="center" valign="top">0.033</td>
<td align="center" valign="middle">0.168</td>
<td align="center" valign="middle">0.011, 0.325</td>
<td align="center" valign="middle">0.036</td>
</tr>
<tr>
<td align="left" valign="bottom">Rural living</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="middle">&#x2212;1.024</td>
<td align="center" valign="middle">&#x2212;1.163, &#x2212;0.886</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="middle">&#x2212;0.976</td>
<td align="center" valign="middle">&#x2212;1.115, &#x2212;0.836</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Father&#x2019;s education level</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="middle">0.044</td>
<td align="center" valign="middle">0.000, 0.088</td>
<td align="center" valign="middle">0.048</td>
</tr>
<tr>
<td align="left" valign="bottom">Mother&#x2019;s education level</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="bottom">&#x2013;</td>
<td align="center" valign="middle">0.119</td>
<td align="center" valign="middle">0.056, 0.181</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>ACEs, adverse childhood experiences; B, non-standard regression coefficient; CI, confidence interval; FOL, feeling of loneliness.Model 1: added ACEs; Model 2: added FOL to Model 1; Model 3: added age, gender, education level, marital status, smoke, drink and rural living into model 2; Model 4: added education level of both mothers and fathers to model 3.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec20">
<label>3.5</label>
<title>Spearman relationship analysis of variables of interests</title>
<p>The Spearman relationship analysis revealed inversely correlations between ACEs and educational level (r&#x2009;=&#x2009;&#x2212;0.048, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) as well as cognitive function (r&#x2009;=&#x2009;&#x2212;0.026, <italic>p</italic>&#x2009;=&#x2009;0.016). ACEs exhibited a positive relationship with FOL (r&#x2009;=&#x2009;0.076, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001). Educational level demonstrated an inversely correlation with FOL (r&#x2009;=&#x2009;&#x2212;0.038, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) and a positive association with cognitive function (r&#x2009;=&#x2009;0.200, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001). FOL was inversely associated with cognitive function (r&#x2009;=&#x2009;&#x2212;0.126, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001). The association between ACEs and cognitive function was failed to undergo Bonferroni correction (r&#x2009;=&#x2009;&#x2212;0.026, <italic>p</italic>&#x2009;=&#x2009;0.098). The correlation analysis of other variables of interest has undergone multiple corrections, with all <italic>p</italic>-values remaining below 0.01 after Bonferroni correction (<xref ref-type="table" rid="tab5">Table 5</xref>).</p>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption>
<p>Spearman relationship between number of ACEs, education level, FOL, and cognition.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top">ACEs</th>
<th align="center" valign="top">Education level</th>
<th align="center" valign="top">FOL</th>
<th align="center" valign="top">Total cognitive scores</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">ACEs</td>
<td align="center" valign="bottom">1.000</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Education level</td>
<td align="center" valign="bottom">&#x2212;0.048 &#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="bottom">1.000</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">FOL</td>
<td align="center" valign="bottom">0.076 &#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="bottom">&#x2212;0.038 &#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="bottom">1.000</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Total cognitive scores</td>
<td align="center" valign="bottom">&#x2212;0.026 &#x002A;</td>
<td align="center" valign="bottom">0.200 &#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="bottom">&#x2212;0.126 &#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="bottom">1.000</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>ACEs, adverse childhood experiences; FOL, feeling of lonely.&#x002A;: <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05; &#x002A;&#x002A;&#x002A;: <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec21">
<label>3.6</label>
<title>Chain mediation analysis</title>
<p><xref ref-type="fig" rid="fig2">Figure 2</xref> illustrates the sequential mediating roles of educational level and FOL between ACEs and cognitive function. In the initial model, we tested the association between ACEs and educational level. The results (<italic>R</italic><sup>2</sup>&#x2009;=&#x2009;0.206, <italic>F</italic>&#x2009;=&#x2009;26.826, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) revealed a positive relationship, indicating that ACEs were inversely correlated with educational level (B&#x2009;=&#x2009;&#x2212;0.058, 95% CI&#x2009;=&#x2009;&#x2212;0.086, &#x2212;0.031, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001). Subsequently, the model examined whether ACEs and educational level were directly linked to the FOL. The outcomes (<italic>R</italic><sup>2</sup>&#x2009;=&#x2009;0.031, <italic>F</italic>&#x2009;=&#x2009;7.786, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) demonstrated a positive correlation between ACEs and FOL (B&#x2009;=&#x2009;0.072, 95% CI&#x2009;=&#x2009;0.057, 0.087, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001), while educational level exhibited a negative association with FOL (B&#x2009;=&#x2009;&#x2212;0.022, 95% CI&#x2009;=&#x2009;&#x2212;0.032, &#x2212;0.013, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001). Finally, we explored the relationship among ACEs, education level, FOL, and cognitive function. The results (<italic>R</italic><sup>2</sup>&#x2009;=&#x2009;0.166, <italic>F</italic>&#x2009;=&#x2009;22.734, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) indicated a direct and positive association between educational level and cognitive function (B&#x2009;=&#x2009;0.261, 95% CI&#x2009;=&#x2009;0.226, 0.296, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001). FOL was inversely related to cognitive function (B&#x2009;=&#x2009;&#x2212;0.483, 95% CI&#x2009;=&#x2009;&#x2212;0.551, &#x2212;0.416, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001). However, the association between ACEs and cognitive function was not significant (B&#x2009;=&#x2009;&#x2212;0.047, 95% CI&#x2009;=&#x2009;&#x2212;0.096, 0.005, <italic>p</italic>&#x2009;=&#x2009;0.136) (see <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S2</xref>). We employed the bootstrap method with 5,000 iterations to conduct the mediating effect test. The mediating effect of educational level and the sequential mediating effects of FOL were considered significant if the 95% confidence interval did not include 0. The total indirect effect of ACEs (B&#x2009;=&#x2009;&#x2212;0.051, 95% CI&#x2009;=&#x2009;&#x2212;0.062, &#x2212;0.039, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) on cognitive function in the older adults was dissected into three pathways: (1) ACEs &#x2192; Education level &#x2192; Cognitive function (B&#x2009;=&#x2009;&#x2212;0.015, 95% CI&#x2009;=&#x2009;&#x2212;0.023, &#x2212;0.008, <italic>p</italic>&#x2009;=&#x2009;0.001); (2) ACEs &#x2192; FOL&#x2009;&#x2192;&#x2009;Cognitive function (B&#x2009;=&#x2009;&#x2212;0.035, 95% CI&#x2009;=&#x2009;&#x2212;0.044, &#x2212;0.026, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001); and (3) ACEs &#x2192; Education level &#x2192; FOL&#x2009;&#x2192;&#x2009;Cognitive function (B&#x2009;=&#x2009;&#x2212;0.001, 95% CI&#x2009;=&#x2009;&#x2212;0.001, 0.000, <italic>p</italic>&#x2009;=&#x2009;0.012) (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S3</xref>). The effect of ACEs on cognitive function in the older population was partially serial mediated by educational level and FOL (Proportion mediated: 52.58%, see <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S3</xref>). All models were adjusted age, gender, marital status, smoke, drink, rural living and education levels of both mothers and fathers.</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Chain mediation analysis between ACEs and cognition. The models utilize the ACEs path, as indicated in the 2014 Life History Survey Questionnaire assessments, as the independent variable. The sequential mediators are education level and FOL, while the dependent variable is the total cognition score assessed at wave 4. The mediation model is adjusted for age, gender, rural living and education level of mothers and fathers. ACEs, adverse childhood experiences; FOL, feeling of lonely. &#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05; &#x002A;&#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.01; &#x002A;&#x002A;&#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001.</p>
</caption>
<graphic xlink:href="fpubh-12-1409966-g002.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="sec22">
<label>4</label>
<title>Discussion</title>
<p>Building upon a large cohort study, this research delved into exploring the connection between ACEs and cognition. Additionally, it examined the extent to which education level and the FOL sequentially mediate this association. There are several noteworthy findings to highlight. First, ACEs were linked to diminished educational level, heightened FOL, and lower cognitive function. Furthermore, potential indirect pathways were identified involving the education and FOL between ACEs and cognitive function. In summary, our findings contribute to the existing literature by presenting new evidence supporting the role of educational level and FOL as mediators in the relationship between ACEs and cognition.</p>
<p>Consistent with previous research, our finding showed that ACEs were inversely related with education level. Giovanelli et al. discovered that individuals who experienced one or more conventional or expanded ACEs during early childhood were associated with fewer years of education, a diminished likelihood of achieving a bachelor&#x2019;s degree or higher, and a decreased likelihood of obtaining an associate&#x2019;s degree or higher. And they proposed that youths at higher risk can benefit most from early intervention for reducing ACE-related disparities (<xref ref-type="bibr" rid="ref14">14</xref>). Numerous studies suggest that ACEs have significant impacts on individuals&#x2019; health and development, including affecting learning ability in school (<xref ref-type="bibr" rid="ref32">32</xref>, <xref ref-type="bibr" rid="ref33">33</xref>), having a negative impact on children&#x2019;s cognitive development (<xref ref-type="bibr" rid="ref34">34</xref>), limiting educational resources and opportunities, and influencing individuals&#x2019; emotional regulation and coping strategies (<xref ref-type="bibr" rid="ref35">35</xref>, <xref ref-type="bibr" rid="ref36">36</xref>). These effects collectively make it challenging for individuals to effectively deal with academic and life pressures. The cumulative impact of ACEs can create barriers to educational success and overall well-being.</p>
<p>Additionally, our examination also revealed that ACEs were positively associated with subjective FOL. Lin et al. found that individuals exposed to ACEs were at a higher risk of experiencing an increasing trajectory of FOL, with a dose&#x2013;response relationship existing between the two (<xref ref-type="bibr" rid="ref28">28</xref>). In the context of subjective experiences of social feelings, one review has highlighted the involvement of neurotransmitters, neurohormonal modulators, and specific brain regions in the mechanisms underlying loneliness (<xref ref-type="bibr" rid="ref37">37</xref>). Furthermore, Brent and Silverstein et al. further proposed a link between early stress or adversity and the influence on oxytocin release and signaling (<xref ref-type="bibr" rid="ref38">38</xref>). Oxytocin, known for its impact on interpersonal processes, affiliation, and feelings of love and trust, establishes a logical connection. This early influence may become deeply embedded in the life course, exerting enduring and long-term effects (<xref ref-type="bibr" rid="ref39">39</xref>).</p>
<p>Emerging evidence showed that the long-lasting effect has been recognized that ACEs have a detrimental impact cognitive function in adults (<xref ref-type="bibr" rid="ref31">31</xref>, <xref ref-type="bibr" rid="ref40">40</xref>). Prior researches investigated the association between ACEs and objective cognition (<xref ref-type="bibr" rid="ref41">41</xref>, <xref ref-type="bibr" rid="ref42">42</xref>), which imply that adverse experiences in early life contribute to inferior cognitive outcomes as individuals age. One study, utilizing data from the English Longitudinal Study of Aging, demonstrated a subtle association between ACEs and memory decline over a ten-year period, spanning from middle to older age (<xref ref-type="bibr" rid="ref42">42</xref>). Another study, which concentrated on older adults in rural South Africa, discovered a correlation between environmental ACEs, such as cohabiting with someone experiencing psychopathology (substance abuse or mental health challenges), and lower memory scores (<xref ref-type="bibr" rid="ref43">43</xref>). There may be several potential mechanisms underlying the association between ACEs and cognitive impairment. Exposure to early-life adversity has crucial impact on brain development (<xref ref-type="bibr" rid="ref44">44</xref>, <xref ref-type="bibr" rid="ref45">45</xref>). Specially, in animal models, there is direct evidence illustrating that stress during early life stages triggers structural, functional, and epigenetic alterations in brain regions linked to cognition. Notably, this includes a decrease in hippocampal volume, which has been associated with cognitive impairments, particularly memory deficits (<xref ref-type="bibr" rid="ref46">46</xref>). These findings suggest that ACEs, education level and FOL should be taken into account as potential factors in measures of cognitive reserve, with the potential to reduce cognitive reserve.</p>
<p>The correlation between ACEs and cognition is mediated by both educational level and FOL. More precisely, individuals who experienced adverse events in their early lives were inclined to have a lower level of education, subsequently experiencing a heightened sense of FOL. This, in turn, elevated their likelihood of experiencing cognitive impairment. In general, both animal models and human studies have profoundly enriched our understanding of the neurodevelopmental mechanisms underlying the association between ACEs and the neural and behavioral phenotypes that result from a complex interplay between environmental, genetic, and epigenetic factors (<xref ref-type="bibr" rid="ref47">47</xref>). Evidence indicated that early life adversity can impact life course development, including brain development, consequently leading to diminished cognitive, academic and behavioral performance and lower education attainment (<xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref48">48</xref>). Moreover, individuals with lower levels of education in Latvia tend to experience higher levels of loneliness (<xref ref-type="bibr" rid="ref49">49</xref>). This heightened loneliness is subsequently associated with lower scores in composite cognitive score, memory (immediate and delayed recall), verbal fluency, and backward digit span (<xref ref-type="bibr" rid="ref50">50</xref>). Research findings highlight various measures of social isolation in long-term care settings and illuminate the contextual components that are correlated with a decrease in loneliness among older adults (<xref ref-type="bibr" rid="ref51">51</xref>, <xref ref-type="bibr" rid="ref52">52</xref>). These measures may help to alleviate the cognition decline in older adults.</p>
<p>Our research possesses several limitations that should be acknowledged. Firstly, we did not thoroughly elucidate the relationship between the various components of ACEs and cognition. Secondly, the measures of ACEs exposure in our study utilized binary response options, which limited the exploration of adversity dimensions such as frequency, severity, duration, ages when it occurred, and the degree of psychological effects at the time. Employing more detailed and precise measures of ACEs may be essential to obtain accurate estimates of the relationships between ACEs and memory decline. Thirdly, the assessment of loneliness relied on a single item from ICSD-10. Future studies could enhance accuracy by utilizing structural questionnaires to evaluate the intricacies of FOL. For future research, to enhance the generalizability of findings and mitigate recall bias, incorporating diverse racial and cohort populations could be beneficial.</p>
</sec>
<sec sec-type="conclusions" id="sec23">
<label>5</label>
<title>Conclusion</title>
<p>ACEs emerge as reliable predictors for educational level, the FOL, and cognitive function. Notably, chain mediation analyses revealed a novel underlying mechanism in the relationship between ACEs and cognitive function among the older population. ACEs serve as effective predictors for cognition by influencing educational level and the FOL. These findings are instrumental in early identification of individuals at risk for poor cognitive impairment, enabling interventions to exert the maximum impact on preventing or delaying cognitive and functional decline. Interventions aimed at optimizing cognitive health in the older adults and preventing future cognitive deficits should carefully consider the potential roles of ACEs, educational level, and the FOL within the relevant population.</p>
</sec>
<sec sec-type="data-availability" id="sec24">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">Supplementary material</xref>. All data from CHARLS were accessible to the public through the website (<ext-link xlink:href="http://charls.pku.edu.cn/" ext-link-type="uri">http://charls.pku.edu.cn/</ext-link>).</p>
</sec>
<sec sec-type="ethics-statement" id="sec25">
<title>Ethics statement</title>
<p>This study was based on publicly available datasets. Ethical review and approval was not required for the study, in accordance with the local legislation and institutional requirements. The datasets are accessible for download on the CHARLS homepage at <ext-link xlink:href="http://charls.pku.edu.cn/en" ext-link-type="uri">http://charls.pku.edu.cn/en</ext-link>. Approval for the CHARLS survey project was granted by the Biomedical Ethics Committee of Peking University, and all participants were required to provide informed consent through signing.</p>
</sec>
<sec sec-type="author-contributions" id="sec26">
<title>Author contributions</title>
<p>XD: Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft, Validation, Resources, Project administration, Methodology, Investigation, Formal analysis, Data curation, Conceptualization. MX: Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft, Visualization, Validation, Resources, Project administration, Methodology, Investigation, Funding acquisition, Formal analysis, Data curation, Conceptualization. YW: Writing &#x2013; original draft, Resources, Methodology, Investigation, Funding acquisition, Conceptualization. JC: Writing &#x2013; original draft, Software, Methodology, Investigation, Funding acquisition, Data curation, Conceptualization. MZ: Writing &#x2013; review &#x0026; editing, Visualization, Validation, Supervision, Project administration, Methodology, Conceptualization. QW: Writing &#x2013; review &#x0026; editing, Validation, Supervision, Project administration, Methodology, Funding acquisition, Conceptualization.</p>
</sec>
</body>
<back>
<sec sec-type="funding-information" id="sec27">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by the National Natural Science Foundation of China (grant number: 82171499), Post Doctor Research Project, West China Hospital, Sichuan University (JC, 2021HXBH027 and 2023HXBH084), and Natural Science Foundation of Sichuan Province (JC, Grant no. 2023NSFSC0126).</p>
</sec>
<ack>
<p>The authors express gratitude to the CHARLS team for their dedicated efforts and generous sharing of survey data.</p>
</ack>
<sec sec-type="COI-statement" id="sec28">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="sec29">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="sec30">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fpubh.2024.1409966/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fpubh.2024.1409966/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.DOCX" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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